code stringlengths 38 801k | repo_path stringlengths 6 263 |
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words = 'His e-mail is <EMAIL>'
pieces = w... | 2022/Python-FreeCodeCamp/chapter_9.ipynb |
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from IPython.core.display import display, HTML
display... | Figures_5.ipynb |
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from gensim.models import AuthorTopicModel
model ... | modelos_viejos/modelo8/modelo8.ipynb |
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from pyspark.sql import SQLContext
from pyspark.ml.fea... | Clustering_load_profile.ipynb |
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import pandas as pd, numpy as np
#load list of all ci... | f1 circuits/.ipynb_checkpoints/wrc_2018-checkpoint.ipynb |
import pyping
import nmap
import dominate
from dominate.tags import *
import paramiko
import base64
nm = nmap.PortScanner()
allscan = nm.scan('192.168.1.*')
allhosts = nm.all_hosts()
pinglis = []
nplis = []
for hosts in allhosts:
print(hosts)
pinglis.append(pyping.ping(hosts))
for pls in pinglis:
prin... | wcping.ipynb |
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import os
import cv2
import numpy as np
import pandas ... | getData.ipynb |
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# + [markdown] colab_type="text" id="eM2WI45DjCVp"
# #... | sequence_models/1-sentiment_analysis/old/C3_W1_Assignment_Sar.ipynb |
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# + colab={"base_uri": "https://localhost:8080/", "height": 51} id="FLPEFsdS_... | ComputerVisionA/Src/EdgeDetectCannyOperator.ipynb |
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import numpy as np
import pandas as pd
import fion... | notebooks/find_channels.ipynb |
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# # Problem set 6: Classification
#
# ## Description
#... | problem_sets/ps_06/ps_06_classification.ipynb |
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import sys
import os
import lxml.etree as ET
import m... | tests/analysis/src/.ipynb_checkpoints/rrtstartan-checkpoint.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
# <a href="https://colab... | tutorials/W2D3_BiologicalNeuronModels/W2D3_Tutorial4.ipynb |
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# # Generate Word Clouds
# - Data Analytics, Data Scie... | class1_explore/scrapers/word_clouds.ipynb |
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# # Solid Angle subtended by a sphere Approximation
#
... | Notes_Upgrades/SolidAngle/Solid_Angle_Sphere_Approx.ipynb |
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#
# # Statistics & Data Analysis
#
# ## Req
# #### Import Requ... | thesis/_build/jupyter_execute/treatment.ipynb |
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# + _uuid="8f2839f25d086af736a60e9eeb907d3b93b6e0e5" _... | tests/data/jupyter_tensorboard.ipynb |
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# + [markdown] id="6585703d-001" colab_type="text"
# #1. Install Dependencies... | colabs/url.ipynb |
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# # Goal with this is to nail down the part of the scr... | P2_BeautifulSoup.ipynb |
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# # Raw Strings
# Difference between raw strings and... | Regexes/.ipynb_checkpoints/Regexes-checkpoint.ipynb |
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# name: python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east... | 00_quickstart/wip/03_Train_Reviews_Autopilot.ipynb |
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# # Running Stan on Jupyter or JuliaBox
# ## Intr... | Examples/OtherExamples/NotebookExample/StanBernoulli.ipynb |
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# %matplotlib inline
# %pdb off
from pprint impor... | WER Detailed [Harvest Strategies].ipynb |
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import tensorflow
tensorflow.keras.__version__
# # 파이... | hw2.ipynb |
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# + [markdown] colab_type="text" id="3yFpBwmNz70v"
# #... | Notebook/2.Regresion/7.random_forest_regression.ipynb |
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import numpy as np
import pandas as pd
import iter... | .ipynb_checkpoints/SVM_SKL-checkpoint.ipynb |
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#... | ipynb/08/standard_scores.ipynb |
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# # <NAME> - <NAME>
#
#
# \begin{equation}... | Tarea5/Example.ipynb |
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# %matplotlib inline
import pandas as pd
import nu... | .ipynb_checkpoints/Precip_Processing-checkpoint.ipynb |
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# ## Monte Carlo - Black-Scholes-Merton
# *Suggested ... | 23 - Python for Finance/8_Monte Carlo Simulations as a Decision-Making Tool/13_Monte Carlo: Black-Scholes-Merton (6:00)/MC - Black-Scholes-Merton - Exercise_CSV.ipynb |
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# # 9-Cluster Trajectories
# In this notebook we use t... | 09-cluster-trajectories.ipynb |
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# + [markdown] nbgrader={"grade": false, "locked": fal... | Lecture 6 conditional probability and Bayes rule.ipynb |
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# + [markdown] id="4WYLR5vQcmx9" colab_type="text"
# #... | Drug Sentiment Analysis/Drugs_Sentiment_Analysis_Template.ipynb |
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# ## Implementation of the language models
# + hide_i... | docs_src/text.models.ipynb |
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import augur
# import everything from githuba... | notebooks/code-reviews.ipynb |
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# # Neural Net
#
# ## Import
# import the necessary ... | source/deep_learning/face_rating.ipynb |
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# #### Imputing Values
#
# You now have some experienc... | lessons/CRISP_DM/Imputing Values.ipynb |
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# # Calculate Equilib... | cmip6dpdt_pendergrass/cesm2gregory_dpdt_abrupt4xCO2.ipynb |
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# + deletable=true editable=true
import os
import ipyw... | syntaxnet/examples/dragnn/interactive_text_analyzer.ipynb |
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# defining years and population lists
year = [1950, 19... | introduction/matlab_plot/jupyter/1.line_plot.ipynb |
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# name: python37664bittest2conda430366e329e54... | Examples/Classification.ipynb |
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# # Kernel Density Estimation and histograms
# * Histo... | kde_histograms.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | day2/Transfer Learning/Transfer_learning_with_keras_with_files.ipynb |
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# ### Send an Email with smtplib
# +
import smtplib
... | python/python101/built-in-packages/06-email.ipynb |
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# + [markdown] id="LikIUYuS_DyQ"
# # VGG
#
# This notebook is an implement of... | cv/VGG/.ipynb_checkpoints/VGG-checkpoint.ipynb |
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# # Object-based filtering of pixel classifications <i... | Real_world_examples/Scalable_machine_learning/5_Object-based_filtering.ipynb |
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# %matplotlib inl... | climate.ipynb |
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/ + azdata_cell_guid="c42b62c8-adff-4efe-a447-bb7fab3899cd"
-- Crea... | queries/Notebook-0.ipynb |
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# # Processor temperature
#
# We have a temperature se... | temperature/temperature.ipynb |
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# + [markdown] colab_type="text" id="tghWegsjhpkt"
# ##### Copyright © 2... | docs/tutorials/data_validation/chicago_taxi.ipynb |
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import pandas as pd
import tempfile
import warnings
wa... | model_registery/notebooks/utils_class.ipynb |
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# # Transfer Learning with ONNX
#
# The notebooks retr... | _doc/notebooks/transfer_learning.ipynb |
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# # Mega-Sena -- Probability, Statistics and Simulatio... | MegaSena.ipynb |
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lst <- list('A','B',c(1,2,3,4),matrix(sample(1:15,12),nrow=3))
lst[3]
l... | lists.ipynb |
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import keras
keras.__version__
# # Predicting house p... | .ipynb_checkpoints/3.7-predicting-house-prices-checkpoint.ipynb |
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import numpy as np
from sklearn import datasets,li... | Lectures/Lecture-06/code/NN00.ipynb |
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# # Human Pose Estimation sec - 1.1
#
# This is a Note... | Model_Training.ipynb |
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# # Valorización con Colateral
# **Ametrano, <NAME>. ... | 05_valorizacion_con_colateral.ipynb |
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# # Independent Component Analysis Lab
#
# In this not... | [Lab] Independent Component Analysis/Independent Component Analysis Lab.ipynb |
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# # HIV MODEL
# <NAME>
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import numpy as np
import matplotlib.pyplot as plt
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# + [markdown] id="jfU3sTnwn9ju"
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# # Levy Stable models of Stochastic Volatility
#
# Th... | examples/stable.ipynb |
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# + [markdown] colab_type="text" id="view-in-github"
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# # Persistence of change
#
# Here we adopt a very sim... | tripletdistance/PersistenceOfChange.ipynb |
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# #!pip install chainer
# #!pip install chainercv
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# To open this notebook in Google Colab and start codi... | programming/5_Intro_to_OOP.ipynb |
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# # Covid-19 India Visualization and Animation
# ## D... | .ipynb_checkpoints/Covid-19 India Analysis-checkpoint.ipynb |
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#Importing Dependancies
import sklearn
fro... | day four/Day 4 - KNN Classifier.ipynb |
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# # Navigation
#
# ---
#
# You are welcome to use this... | Navigation Bananas.ipynb |
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# # Tipe Data dan Operator
#
# Setiap pemr... | book/python/data-types-and-operators.ipynb |
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# + [markdown] id="71AQJg3CDMn9" cellI... | seminar03-conv_nets/seminar_pytorch.ipynb |
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# # Train a Depth Seeding Netwo... | train_DSN.ipynb |
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# + [markdown] id="6LIXVJeIAmVa"
# # Hyper-parameter T... | (t2) Deep Learning Computations/Shalaka_DL_DLComputations/Shalaka_DL_DLComputations_HPTRegression.ipynb |
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import numpy as np
from ctapipe.io import event_so... | notebooks/lst/real_data/explore_LST_data.ipynb |
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import json
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f=json.loads(open("... | Helper/mba.ipynb |
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import numpy as np
import matplotlib.pyplot as plt
# ... | notebooks/EDHSMM (Multivariate Normal).ipynb |
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# ## Gaussian Mixture Model
#
# Gaussian mixture model... | docs/tutorials/gaussian_mixture_model.ipynb |
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# # Sentiment with Transformers
#
# The HuggingFace Transformers ... | course/language_classification/02_sentiment_with_transformers.ipynb |
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# # CCPi Iterative Reconstruction Algorithms
#
# This ... | notebooks/demo-1-reconstruction.ipynb |
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# # #MakeoverMonday - Music Industry Sales
# > This vi... | _notebooks/2020-05-25-Music-Industry-Sales.ipynb |
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# # Intro to MultiIndex Module
# - Mu... | Pandas - Data Analysis with Pandas and Python - BP/07_MultiIndex.ipynb |
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# ## Summary
# ### Dec 8, 2016
#
# Looks like there ar... | notebooks/20161208_KEW_new-xgboost.ipynb |
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# # Parameter drift
# # Purpose
# If the matematical ... | notebooks/21.02_parameter_drift.ipynb |
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# + [markdown] id="vYmMCnfg1PN8"
# # Preface
#
# The locations requiring conf... | benchmark_notebooks/baseline/AL Baseline MNIST v2.ipynb |
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# ## 最小二乘法
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# + [markdown] graffitiCellId="id_oerv9ac"
# # Walkthr... | Choosing the right hardware for OpenVino - Dev Cloud/Notebooks/Int_GPU_and_the_DevCloud.ipynb |
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# # Tip Calculator
#
# ## Instructions
#
#... | Day-2/Tip_Calculator_Project.ipynb |
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# # Usage of IF else
# +
num = 3
if num<2 :
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import geopandas as gpd
i... | utils/visualize_db/visualize_db.ipynb |
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# # Code/Environment Preparation
#
# Let's start by in... | x-umx/X-UMX.ipynb |
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import project_functionssss as pf
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# # Currency Conversion with Matrix Multiplication
#
... | 3 - Linear Algebra Essentials/4. Matrix Multi Currency/matrixMultCurrency.ipynb |
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import requests
endpoint = "http://graphdb:7200/r... | notebooks/termMapping.ipynb |
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# ## `eppy` Tutorial Scenarios
#
# Created by: <NAME>
... | 4_ParametericInputFileCreation/.ipynb_checkpoints/eppy IDF file manipulation-checkpoint.ipynb |
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# # knn
#
# 接下来对KNN算法的思想总结一下：就是在训练集中数据和标签已知的情况下，输入测试数据... | deep_learn/knn.ipynb |